{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"from keras.models import Sequential,Model\nfrom keras.layers import Dense, Dropout, Flatten\nfrom keras.layers import Conv2D,Activation,MaxPooling2D\nfrom keras import Input\nfrom keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array\nimport numpy as np \nimport pandas as pd\nimport os\nimport matplotlib.pyplot as plt\nfrom tqdm import tqdm","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"!ls ../input/sp-society-camera-model-identification/train/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"DataGenrator = ImageDataGenerator(rescale=1./255)\ntrain_Data_generator = DataGenrator.flow_from_directory(\n        '../input/sp-society-camera-model-identification/train/',  \n        batch_size=1,\n        class_mode='categorical')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x, y = train_Data_generator.next()\nplt.imshow((x[0]*255).astype('uint8'));\nprint(list(train_Data_generator.class_indices.keys())[np.argmax(y)])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"l_data, Y_data = [], []\nfor l in tqdm(range(2750)):\n    x, y = train_Data_generator.next()\n    l_data.append(x[0])\n    Y_data.append(y[0])\nl_data = np.asarray(l_data)\nY_data = np.asarray(Y_data)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}